• Journal of Korean Society of Disaster and Security
• /
• v.14 no.4
• /
• pp.61-67
• /
• 2021

In this study, the adequacy of water supply critical factors of urban design was examined. The supply of water supply is analyzed in various ways as the design progresses. Starting with basic data collection and analysis a supply and demand plan is established to calculate the amount of water supply and in this study the adequacy of population estimation and original unit calculation was evaluated. Among the second new cities where actual data can be secured Wirye New Town was selected as the study target area. Related data were analyzed to confirm the future population and the original unit and compared with the measured data. As of September 2020, the population of Wirye New Town was 93,977, showing the appropriateness of about 84% with a planned population of 110,990 confirming that the planned population and the actual population were almost similar. In the case of the original unit, it was calculated as 314 liters per person in Seoul and 320 liters per person in Seongnam at the time of design. As a result, it was found that there was some agreement in the population estimation while examining the supply in the planned city. In the case of Korea, there is a lot of interest in revitalizing the existing city, away from continuous development. Therefore it is judged that there is a need for further research on the adequacy of supply for the old city center.

• Journal of the Korean Society for Precision Engineering
• /
• v.14 no.2
• /
• pp.66-73
• /
• 1997

In many optimal methods for the structural design, the structural analysis is performed with the given design parameters. Then the design sensitivity is calculated based on its structural anaysis results. There-after, the design parameters are changed iteratively. But genetic algorithm is a optimal searching technique which is not depend on design sensitivity. This method uses for many design para- meter groups which are generated by a designer. The generated design parameter groups are become initial population, and then the fitness of the all design parameters are calculated. According to the fitness of each parameter, the design parameters are optimized through the calculation of reproduction process, degradation and interchange, and mutation. Those are the basic operation of the genetic algorithm. The changing process of population is called a generation. The basic calculation process of genetic algorithm is repeatly accepted to every generation. Then the fitness value of the element of a generation becomes maximum. Therefore, the design parameters converge to the optimal. In this study, the optimal design pro- cess of a machine tool structure for static loading is presented to determine the optimal base supporting points and structure thickness using a genetic algorithm.

• Proceedings of the IEEK Conference
• /
• 2000.06e
• /
• pp.55-58
• /
• 2000

Previous works using a Multi-population Genetic Algorithm have divided chromosome into two components, rule sets and membership functions. However, in this case bad rule sets disturb optimization in good rule sets and membership functions. A new method for a Multi-population Genetic Algorithm suggests three components, good rule sets, bad rule sets, and membership functions. To show the effectiveness of this method, fuzzy controller is applied in a Truck Backing Problem. Results of the computer simulation show good adaptation of the proposed method for a Multi-population Genetic Algorithm.

• Journal of the Korean Statistical Society
• /
• v.27 no.3
• /
• pp.331-348
• /
• 1998

In this paper, we have proposed some robust Bayes estimators using ML-II priors as well as certain empirical Bayes estimators in estimating the finite population mean in the presence of auxiliary information. These estimators are compared with the classical ratio estimator and a subjective Bayes estimator utilizing the auxiliary information in terms of "posterior robustness" and "procedure robustness" Also, we have addressed the issue of choice of sampling design from a robust Bayesian viewpoint.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2009.11a
• /
• pp.72-76
• /
• 2009

Along with the heightening development of modern medical technology in the world, the economy and quality of lifestyle has contributed to the increase in the average lifespan. Therefore the issue to deal with the aging population is becoming an important social issue. As aging population becomes a serious social problem, the issue of supporting the senior citizens is confronted with a more difficult situation. From the perspective of senior citizen's physical and social and economic situations, there are great difficulties to deal with, like lowered physical ability compared to the rest of population. Therefore the supply of senior welfare facility that is based on senior citizen's physical characteristics yet provides the opportunity to be independent needs to provided rather than just planning a simple facility that provides living accommodations. This research examines thereinto welfare center's usage of residential circulation system from the senior welfare facilities' type classification to understand the actual usage problem and presents a circulation plan that will resolve the problem.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.35 no.1
• /
• pp.47-54
• /
• 2019

This study proposes a new ERAM model with building population weighting. Previous studies of applying weightings on ERAM model on the scale of urban space were focused on the relationship between the street and the human behavior. However, this study focuses on the influences that buildings give to human behavior and develops a building population weighted ERAM model. This research starts by analyzing ERAM model to its basic compositions, which are adjacency matrix and row vector. It applies building population weighting to the row vector, while previous studies put weightings in the adjacency matrix. Building population weighted ERAM model calculates the building population weighting based on GIS data, which provides objective and massive data of buildings in the urban scale. For the verification of the model, Insa-dong and Myeong-dong were analyzed with both ERAM model and building population weighted ERAM model. The results were analyzed through the correlation test with actual pedestrian population data of the two districts. As a result, the explanation ability of building population weighted ERAM model for the pedestrian population turned out to be higher than the ERAM model. Since building population weighted ERAM model has the structure that can be combined with other weighted ERAM models, it is expected to develop a multi-weighted ERAM model with better explanation ability as a further study.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2006.05a
• /
• pp.173-178
• /
• 2006

An increase in the proportion of Korean population in older age is much faster than the rest of the world. Along with rise of nuclear family due to rapid industrialization, informatization and materialization, ageing, on current situation in Korea that a reality of being diminished consciousness involving the sense of filial piety, and of respect or honor for the elders, does mean that such topics in ageing have become sociocultural issues that a nation should get more deeply involved in caring later life of the elderly population in an official and obligatory manner. Under this circumstance, an exhibition space in the hall intended for experiencing the later life of the elderly will surely play the role of locomotive in the respect of education to understand aging adults, and to promote development of health and welfare industry, especially for older population, also in creating and developing a positive and desirable culture and environment. To implement design project concerned with the space for the elderly population in a more careful and effective manner, the features of the Old Age Experience Hall that will satisfy the requirements thereof and the space compositions as well as characteristics of three exhibition halls having already been operated were analyzed examining closely the current facing issues in this aging society and also investigating the aging process related to physical functions of older adults. Based on those analyses, this study was aimed to prepare an efficient and systematic theoretical foundation for planning space composition of the Old Age Experience Hall further having extracted basic directions for design from, which should be meticulously considered and reflected so as to make the Old Age Experience Hall function properly.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2009.01a
• /
• pp.407-410
• /
• 2009

인터넷이 등장하고 대중화되면서 웹 1.0의 개념에서 웹 2.0을 지나 웹 3.0을 바라보고 있다. 이러한 웹의 발전 과정에서 시맨틱 웹이 등장하게 되었고 시맨틱 웹이 GIS와 접목되어 시맨틱 GIS가 등장하게 되었다. 기존 GIS 시스템에서는 사용자들이 국한된 정보만을 제공받아 왔지만 웹이 발전하고 수많은 컨텐츠가 생성되면서 웹의 데이터를 GIS와 연결시켜서 사용자에게 풍부한 정보를 제공 할 수 있는 시스템이 연구, 개발되고 있다. 하지만 기존 연구들은 Learning 및 Population 기법 부재로 인하여 시맨틱 웹에서 지향하는 풍부한 서비스 제공에 어려움을 겪고 있다. 따라서 이 논문에서는 Learning 및 Population 기법을 통해 웹으로부터 비공간 정보를 추출하여 서비스 할 수 있는 시맨틱 GIS 시스템 모델을 설계한다. 이 구현 모델의 기대효과로 사용자는 구현 될 시스템을 사용하여 특정 공간에 대한 비공간 정보들을 웹으로부터 수집하여 사용자에게 풍부한 정보를 제공할 수 있다.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2000.10a
• /
• pp.40-47
• /
• 2000

One of the drawbacks of GA-based structural optimization is that the fitness evaluation of a population of hundreds of individuals requiring hundreds of structural analyses at each CA generation is computational too expensive. Therefore, a parallel genetic algorithm is developed for structural optimization on a cluster of personal computers in this paper. Based on the parallel genetic algorithm, a population at every generation is partitioned into a number of sub-populations equal to the number of slave computers. Parallelism is exploited at sub-population level by allocationg each sub-population to a slave computer. Thus, fitness of a population at each generation can be concurrently evaluated on a cluster of personal computers. For implementation of the algorithm a virtual distributed computing system in a collection of personal computers connected via a 100 Mb/s Ethernet LAN. The algorithm is applied to the minimum weight design of a steel structure. The results show that the computational time requied for serial GA-based structural optimization process is drastically reduced.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.18 no.36
• /
• pp.133-141
• /
• 1995

One of the problems brought up in the effective execution of genetic algorithms is that if they come under any influences according as the population size is large or small. In the case of small population size the opportunities of premature convergence are increased when the greatly powerful or no good individual is generated during search of the solution space. And searching the solution space in the case of large population size, the difficulties under the execution cause to searching all for one by one individual in every generation applied is limited, this gives the many interruptions to the convergence of final solution. Now this paper gives a suggestion to set up the adaptive population size which could compute the more correct solution and simplify the development of computation performance.